Feng Chung Wu

554 citations
39 papers · 324 indexed · h-index 11
Topics
Colorectal Cancer Screening and Detection (5 papers)Cutaneous Melanoma Detection and Management (4 papers)AI in cancer detection (4 papers)
Journals
SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsBMC Public Health
Partner nations
BrazilChinaMoldova

In The Last Decade

Feng Chung Wu

36 papers receiving 316 citations

Peers

Feng Chung Wu
Comparison fields: 5 of 112
  • Artificial Intelligence 124
  • Computer Vision and Pattern Recognition 99
  • Oncology 43
  • Information Systems 26
  • Radiology, Nuclear Medicine and Imaging 26
Replace Mohib Ullah with:
Mohib Ullah Pakistan
K. P. Sanal Kumar India
Kapil Kumar Nagwanshi India
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Abdulrhman M. Alshareef Saudi Arabia
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Mohamed Ibrahim Alsaid Saudi Arabia
Heba Mamdouh Farghaly Egypt
Muhammad Sheraz Arshad Malik Pakistan
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Citations per field
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Mohib Ullah · 1×
Citations per year

Countries citing papers authored by Feng Chung Wu

Since Specialization
Citations

This map shows the geographic impact of Feng Chung Wu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Feng Chung Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Chung Wu more than expected).

Fields of papers citing papers by Feng Chung Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Feng Chung Wu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Feng Chung Wu. The network helps show where Feng Chung Wu may publish in the future.

Co-authorship network of co-authors of Feng Chung Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Chung Wu. A scholar is included among the top collaborators of Feng Chung Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Feng Chung Wu. Feng Chung Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 18
4 0
5 23
6
Sistema Computacional Web para o Monitoramento de Movimentos em Tempo Real
1
7 3
8 5
9 10
10 22
11 2
12 1
13 1
14 1
15 1
16
Mineração de séries temporais por meio da extração de características e da identificação de motifs
1
17 8
18
Total energy of rupture: a biomechanical test to evaluate non-linear viscoelastic biological material
5
19
The use of intravenous etomidate infusion in the acute control of life-threatening hypercortisolaemia in a case of ACTH-dependent Cushing's syndrome
1
20 3

About Feng Chung Wu

Feng Chung Wu is a scholar working on Medical Laboratory Technology, Developmental Neuroscience and Health Information Management, having authored 39 papers that have together received 324 indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (5 papers), Cutaneous Melanoma Detection and Management (4 papers) and AI in cancer detection (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (99 citations), Artificial Intelligence (124 citations) and Health Informatics (5 citations). Feng Chung Wu has collaborated with scholars based in Brazil, China and Moldova. Frequent co-authors include Huei Lee, Newton Spolaôr, Antonio Rafael Sabino Parmezan, Cláudio Saddy Rodrigues Coy, Jefferson Tales Oliva, Ana Isabel Mendes, Rui Fonseca-Pinto, Wei Zhai, Haiyong Xie and João José Fagundes. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and BMC Public Health.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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